R: Bayesian Hybrid Design and Analysis

# Bayesian Hybrid Design and Analysis

## Documentation for package ‘BayesianHybridDesign’ version 0.1.0

- DESCRIPTION file.

## Help Pages

Bayesian.Hybrid.Analysis | Statistical Analysis for a Bayesian Hybrid Design
borrow.wt | Calculate Borrowing Weights from Historical Data
calibration | Calibration for Bayesian Hybrid Design
DPP | Bayesian Hybrid Design using Dynamic Power Prior Framework
DPP.analysis | Analysis of a Study Using Bayesian Hybrid Design using Dynamic Power Prior Framework
EESS | Bayesian Hybrid Design
exactci | Clopper-Pearson Exact Confidence Interval for a Binomial Proportion
explore.power.DPP | Explore Power Across Multiple Scenarios for a Bayesian Hybrid Design
fisher | Fisher's Exact Test for a 2x2 Contingency Table
fisher.bound | Calculate Rejection Boundary for Fisher's Exact Test
fisher.power | Power Calculation by Fisher's Exact Test
Frequentist.Analysis | Statistical Analysis Using Frequentist Method
plotDPP | Plot a DPP Object
plotPMD | Plot Posterior Mean Difference (PMD) Distributions
power.binom.test | Power Calculation for the Exact Binomial Test
power.DPP | Power Calculation for Bayesian Hybrid Design
runCalibratedSAM | Run a Calibrated Simulation Using SAM Priors
runSAM | Generating Operating Characteristics of SAM Priors
runSAM.betaMix | Generating Operating Characteristics of SAM Priors
runSAM.normMix | Generating Operating Characteristics of SAM Priors
SAM_prior | Calculating SAM priors
SAM_prior.betaMix | Calculating SAM priors
SAM_prior.gammaMix | Calculating SAM priors
SAM_prior.normMix | Calculating SAM priors
SAM_weight | Calculating Mixture Weight of SAM Priors
SAM_weight.betaMix | Calculating Mixture Weight of SAM Priors
SAM_weight.gammaMix | Calculating Mixture Weight of SAM Priors
SAM_weight.normMix | Calculating Mixture Weight of SAM Priors
Two.Prop.Test.Sample.Size | Sample Size for Comparing Two Proportions